LiDAR data fusion to improve forest attribute estimates: A review

M Balestra, S Marselis, TT Sankey, C Cabo… - Current Forestry …, 2024 - Springer
Abstract Purpose of the Review Many LiDAR remote sensing studies over the past decade
promised data fusion as a potential avenue to increase accuracy, spatial-temporal …

Map** forest height and aboveground biomass by integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 data using Random Forest algorithm in northwest Himalayan …

S Nandy, R Srinet, H Padalia - Geophysical Research Letters, 2021 - Wiley Online Library
The present study aims to map forest canopy height by integrating ICESat‐2 and Sentinel‐1
data and investigate the effect of integrating forest canopy height information with Sentinel‐2 …

[HTML][HTML] Forest aboveground biomass estimation and map** through high-resolution optical satellite imagery—A literature review

A Ahmad, H Gilani, SR Ahmad - Forests, 2021 - mdpi.com
This paper provides a comprehensive literature review on forest aboveground biomass
(AGB) estimation and map** through high-resolution optical satellite imagery (≤ 5 m …

Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam

ATN Dang, S Nandy, R Srinet, NV Luong, S Ghosh… - Ecological …, 2019 - Elsevier
Forest biomass is one of the key measurement for carbon budget accounting, carbon flux
monitoring, and climate change studies. Hence, it is essential to develop a credible …

[HTML][HTML] Estimation of forest above-ground biomass by geographically weighted regression and machine learning with sentinel imagery

L Chen, C Ren, B Zhang, Z Wang, Y ** from Sentinel and SRTM data
L Chen, Y Wang, C Ren, B Zhang, Z Wang - Remote Sensing, 2019 - mdpi.com
Accurate forest above-ground biomass (AGB) map** is crucial for sustaining forest
management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) …

Estimating leaf area index and light extinction coefficient using Random Forest regression algorithm in a tropical moist deciduous forest, India

R Srinet, S Nandy, NR Patel - Ecological Informatics, 2019 - Elsevier
Leaf area index (LAI) and light extinction coefficient (k) are the key structural parameters
controlling many canopy functions like radiation and water interception, radiation extinction …

Assessment of multi-wavelength SAR and multispectral instrument data for forest aboveground biomass map** using random forest kriging

L Chen, Y Wang, C Ren, B Zhang, Z Wang - Forest ecology and …, 2019 - Elsevier
Aboveground biomass (AGB) plays an important role in carbon cycle. Assessment of AGB
presents a challenge in forest management. Reported studies have explored the potential of …